Chris Sherlock

According to our database, Chris Sherlock authored at least 11 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Scalable Monte Carlo for Bayesian Learning.

Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock

CoRR, 2024

2023

Accelerating inference for stochastic kinetic models.

Tom E. Lowe, Andrew Golightly, Chris Sherlock

Comput. Stat. Data Anal., September, 2023

Exact Bayesian Inference for Discretely Observed Markov Jump Processes Using Finite Rate Matrices.

Chris Sherlock, Andrew Golightly

J. Comput. Graph. Stat., January, 2023

The Apogee to Apogee Path Sampler.

Chris Sherlock, Szymon Urbas, Matthew Ludkin

J. Comput. Graph. Stat., 2023

2022

Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes.

Andrew Golightly, Chris Sherlock

Stat. Comput., 2022

2021

Direct statistical inference for finite Markov jump processes via the matrix exponential.

Chris Sherlock

Comput. Stat., 2021

2020

Motor unit number estimation via sequential Monte Carlo.

Simon A. C. Taylor, Chris Sherlock, Gareth Ridall, Paul Fearnhead

Comput. Stat. Data Anal., 2020

2019

Efficient sampling of conditioned Markov jump processes.

Andrew Golightly, Chris Sherlock

Stat. Comput., 2019

2017

Improved bridge constructs for stochastic differential equations.

Gavin A. Whitaker, Andrew Golightly, Richard J. Boys, Chris Sherlock

Stat. Comput., 2017

2015

Delayed acceptance particle MCMC for exact inference in stochastic kinetic models.

Andrew Golightly, Daniel A. Henderson, Chris Sherlock

Stat. Comput., 2015

2013

Optimal Scaling of the Random Walk Metropolis: General Criteria for the 0.234 Acceptance Rule.

Chris Sherlock

J. Appl. Probab., 2013